地理学报 ›› 2017, Vol. 72 ›› Issue (12): 2241-2251.doi: 10.11821/dlxb201712009
彭澎1,2(), 程诗奋1,2, 刘希亮1, 梅强3,4, 陆锋1(
)
收稿日期:
2017-02-22
修回日期:
2017-10-18
出版日期:
2017-12-25
发布日期:
2017-12-26
作者简介:
作者简介:彭澎(1989-), 男, 博士生, 主要从事海上交通地理信息科学、复杂网络分析研究。E-mail:
基金资助:
Peng PENG1,2(), Shifen CHENG1,2, Xiliang LIU1, Qiang MEI3,4, Feng LU1(
)
Received:
2017-02-22
Revised:
2017-10-18
Online:
2017-12-25
Published:
2017-12-26
Supported by:
摘要:
海洋运输网络结构健壮性与运输效率密切相关,也是海洋运输系统抗干扰能力的具体表现。目前的海洋运输网络健壮性研究主要基于集装箱班轮运输网络开展,忽略了货运船舶的多态性。针对上述问题,本文利用2015年全球海洋货物运输船舶自动识别系统(Automatic Identification System, AIS)数据,构建了包含港口中转停留信息的全球海洋货物运输网络,然后从原油、集装箱、散货三种货物运输模式网络入手,证明其结构符合幂律分布,并采用随机性攻击和蓄意攻击策略,分析了三种网络在不同攻击策略下的破碎过程。结果表明:① 与基于集装箱班轮起止港口信息构建的运输网络相比,利用货运船舶AIS数据构建的运输网络更完整地反映了全球海洋运输格局和过程;② 不同货运网络结构健壮性存在巨大差异,散货运输网络最健壮,其次为原油运输网络,集装箱运输网络最脆弱;③ 小规模的蓄意攻击会对集装箱运输网络完整性产生较大的影响,而对散货运输网络和原油运输网络完整性影响较小。研究成果可为港口规划、航线设计与优化以及建立更可靠的海洋运输网络体系提供参考和决策支持。
彭澎, 程诗奋, 刘希亮, 梅强, 陆锋. 全球海洋运输网络健壮性评估[J]. 地理学报, 2017, 72(12): 2241-2251.
Peng PENG, Shifen CHENG, Xiliang LIU, Qiang MEI, Feng LU. The robustness evaluation of global maritime transportation networks[J]. Acta Geographica Sinica, 2017, 72(12): 2241-2251.
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